{"id":"https://openalex.org/W4285601133","doi":"https://doi.org/10.24963/ijcai.2022/522","title":"Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering","display_name":"Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285601133","doi":"https://doi.org/10.24963/ijcai.2022/522"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/522","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/522","pdf_url":"https://www.ijcai.org/proceedings/2022/0522.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0522.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100329232","display_name":"Yiqun Zhang","orcid":"https://orcid.org/0000-0002-0328-987X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Zhang","raw_affiliation_strings":["Guangdong University of Technology","School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-ming Cheung","raw_affiliation_strings":["Hong Kong Baptist University","Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068803346","display_name":"An Zeng","orcid":"https://orcid.org/0000-0002-8730-1011"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Zeng","raw_affiliation_strings":["Guangdong University of Technology","School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3758","last_page":"3765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9591000080108643,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8791813850402832},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8630895614624023},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7385109066963196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6522853374481201},{"id":"https://openalex.org/keywords/variable-and-attribute","display_name":"Variable and attribute","score":0.583206832408905},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5405721664428711},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5178321003913879},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49820804595947266},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4959286153316498},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.48125573992729187},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44378334283828735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40718352794647217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3097652494907379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2909542918205261},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.27648311853408813},{"id":"https://openalex.org/keywords/attribute-domain","display_name":"Attribute domain","score":0.24621230363845825}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8791813850402832},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8630895614624023},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7385109066963196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522853374481201},{"id":"https://openalex.org/C12692103","wikidata":"https://www.wikidata.org/wiki/Q113312","display_name":"Variable and attribute","level":4,"score":0.583206832408905},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5405721664428711},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5178321003913879},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49820804595947266},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4959286153316498},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.48125573992729187},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44378334283828735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40718352794647217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3097652494907379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2909542918205261},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.27648311853408813},{"id":"https://openalex.org/C75814411","wikidata":"https://www.wikidata.org/wiki/Q4818714","display_name":"Attribute domain","level":3,"score":0.24621230363845825},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/522","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/522","pdf_url":"https://www.ijcai.org/proceedings/2022/0522.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/522","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/522","pdf_url":"https://www.ijcai.org/proceedings/2022/0522.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.75}],"awards":[{"id":"https://openalex.org/G1238966747","display_name":null,"funder_award_id":"2021A1515012300","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G2375554334","display_name":null,"funder_award_id":"2019A050510041","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G365222834","display_name":null,"funder_award_id":"62102097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4498375273","display_name":null,"funder_award_id":"RC-IRCMs/18-19/SCI/01","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G4550539361","display_name":null,"funder_award_id":"2021B0101220006","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G4787607161","display_name":null,"funder_award_id":"RC-FNRA-IG/18-19/SCI/03","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G5140599133","display_name":null,"funder_award_id":"12201321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285601133.pdf","grobid_xml":"https://content.openalex.org/works/W4285601133.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W114704759","https://openalex.org/W1562135275","https://openalex.org/W1565746575","https://openalex.org/W1647729745","https://openalex.org/W1967987265","https://openalex.org/W2010140249","https://openalex.org/W2040138869","https://openalex.org/W2047878524","https://openalex.org/W2132149726","https://openalex.org/W2148425841","https://openalex.org/W2149620660","https://openalex.org/W2153233077","https://openalex.org/W2156483112","https://openalex.org/W2185136252","https://openalex.org/W2187089797","https://openalex.org/W2338257905","https://openalex.org/W2473552888","https://openalex.org/W2740337541","https://openalex.org/W2793385194","https://openalex.org/W2811024573","https://openalex.org/W2895388200","https://openalex.org/W2925162041","https://openalex.org/W2952096733","https://openalex.org/W2997152122","https://openalex.org/W3017786722","https://openalex.org/W3043922872","https://openalex.org/W3107721972","https://openalex.org/W4245672031"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4390769348"],"abstract_inverted_index":{"Data":[0],"sets":[1],"composed":[2],"of":[3,6,25,46,59,66,74,81,96],"a":[4,60,64,82,112,127,140],"mixture":[5],"categorical":[7,61],"and":[8,72,94,130,135,148],"numerical":[9,83],"attributes":[10,47,125],"(also":[11],"called":[12,118],"mixed":[13],"data":[14,27,136],"hereinafter)":[15],"are":[16],"common":[17],"in":[18,106],"real-world":[19],"cluster":[20],"analysis.":[21],"However,":[22],"insightful":[23],"analysis":[24],"such":[26,103,139],"under":[28],"an":[29],"unsupervised":[30],"scenario":[31],"using":[32],"clustering":[33],"is":[34,48],"extremely":[35],"challenging":[36],"because":[37],"the":[38,42,57,75,79,86,97,123,157],"information":[39,105],"provided":[40],"by":[41],"two":[43,89],"different":[44,52,67,90],"types":[45],"heterogeneous,":[49],"being":[50],"at":[51],"concept":[53],"hierarchies.":[54],"That":[55],"is,":[56],"values":[58,80],"attribute":[62,76,84,98,114,133],"represent":[63],"set":[65],"concepts":[68,91],"(e.g.,":[69,92],"professor,":[70],"lawyer,":[71],"doctor":[73],"\"occupation\"),":[77],"while":[78],"describe":[85],"tendencies":[87],"toward":[88],"low":[93,145],"high":[95],"\"income\").":[99],"To":[100],"appropriately":[101],"use":[102],"heterogeneous":[104,124],"clustering,":[107],"this":[108],"paper":[109],"therefore":[110],"proposes":[111],"novel":[113],"representation":[115],"learning":[116],"method":[117],"Het2Hom,":[119],"which":[120],"first":[121],"converts":[122],"into":[126],"homogeneous":[128,141],"form,":[129],"then":[131],"learns":[132],"representations":[134],"partitions":[137],"on":[138],"basis.":[142],"Het2Hom":[143,155],"features":[144],"time":[146],"complexity":[147],"intuitive":[149],"interpretability.":[150],"Extensive":[151],"experiments":[152],"show":[153],"that":[154],"outperforms":[156],"state-of-the-art":[158],"counterparts.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
